半年报 众合科技上半年净利亏损 公司称预采取多项措施扩大市场份额

Core Viewpoint - Zhejiang Zhonghe Technology Co., Ltd. reported a revenue of 688 million yuan for the first half of 2025, marking a year-on-year increase of 13.77%, while the net profit attributable to shareholders was -74.21 million yuan, a year-on-year increase of 21.23% [1] Revenue and Profit Analysis - The revenue growth in the first half of 2025 was attributed to an increase in new orders and project delivery scale in the smart transportation business, as well as steady development in the semiconductor single crystal silicon material business. However, the gross profit was insufficient to cover fixed costs, leading to a loss [1] - In Q2 2025, the company achieved a revenue of approximately 468 million yuan, a quarter-on-quarter increase of about 112.70%. The net profit for Q2 was -21.43 million yuan, a reduction in loss of approximately 59.40% compared to Q1, indicating a clear recovery trend [1] Business Segment Performance - The smart transportation business, which accounts for over 60% of total revenue, generated 439 million yuan in the first half of 2025, reflecting a year-on-year growth of 16.77%. The gross margin for this segment was 23.29%, down 4.13% from the same period last year. New orders in this segment amounted to 1.046 billion yuan, a year-on-year increase of 52.89% [2] - The decline in gross margin for the smart transportation business was attributed to varying project requirements and quality across different regions, affecting the profitability of major projects delivered in the first half of 2025 [2] Other Business Segments - In the semiconductor manufacturing sector, the company reported a revenue of 225 million yuan in the first half of 2025, a year-on-year increase of 14.05%. However, the digital intelligence business saw a revenue decline of 23.32%, generating only 15 million yuan [3] - The company has a long-standing presence in the rail transit signal market, consistently ranking among the top three in China, and plays a significant role in the digital and intelligent transformation of rail transit [3]